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AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction.
Gao, Fei; Yoon, Hyunsoo; Xu, Yanzhe; Goradia, Dhruman; Luo, Ji; Wu, Teresa; Su, Yi.
Afiliación
  • Gao F; School of Computing, Informatics, Decision Systems Engineering, Arizona State University, United States; ASU-Mayo Center for Innovative Imaging, Arizona State University, United States.
  • Yoon H; School of Computing, Informatics, Decision Systems Engineering, Arizona State University, United States; ASU-Mayo Center for Innovative Imaging, Arizona State University, United States.
  • Xu Y; School of Computing, Informatics, Decision Systems Engineering, Arizona State University, United States; ASU-Mayo Center for Innovative Imaging, Arizona State University, United States.
  • Goradia D; Banner Alzheimer Institute, United States; Arizona Alzheimer's Consortium, United States.
  • Luo J; Banner Alzheimer Institute, United States; Arizona Alzheimer's Consortium, United States.
  • Wu T; School of Computing, Informatics, Decision Systems Engineering, Arizona State University, United States; ASU-Mayo Center for Innovative Imaging, Arizona State University, United States. Electronic address: Teresa.Wu@asu.edu.
  • Su Y; School of Computing, Informatics, Decision Systems Engineering, Arizona State University, United States; Banner Alzheimer Institute, United States; Arizona Alzheimer's Consortium, United States. Electronic address: yi.su@bannerhealth.com.
Neuroimage Clin ; 27: 102290, 2020.
Article en En | MEDLINE | ID: mdl-32570205
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Encéfalo / Valor Predictivo de las Pruebas / Factores de Edad / Redes Neurales de la Computación / Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Neuroimage Clin Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Encéfalo / Valor Predictivo de las Pruebas / Factores de Edad / Redes Neurales de la Computación / Enfermedad de Alzheimer Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Neuroimage Clin Año: 2020 Tipo del documento: Article